Cue combination occurs when two independent noisy perceptual estimates are merged
together as a weighted average, creating a unified estimate that is more precise than either …

Humans are effective at dealing with noisy, probabilistic information in familiar settings. One
hallmark of this is Bayesian Cue Combination: combining multiple noisy estimates to …

Positive father involvement in the lives of their children is critically important. This article
describes pilot data from the Dad2K program, an adaptation of the evidence-based …

Reinforcement learning (RL) is the core method for interactive learning in living and artificial
creatures. Nevertheless, in contrast to humans and animals, artificial RL agents are very …

In large-scale problems, standard reinforcement learning algorithms suffer from slow
learning speed. In this paper, we follow the framework of using subspaces to tackle this …

Reinforcement learning (RL) plays a major role in solving complex sequential decision-
making tasks. Hierarchical and goal-conditioned RL are promising methods for dealing with …

People can learn new sensory skills that augment their perception, such as human
echolocation. However, it is not clear to what extent these can become an integral part of the …

Cognitive robots constitute a highly interdisciplinary approach to the issue of therapy of
children with developmental disorders. Cognitive robots become more popular, especially in …

This article was republished on November 3, 2014, to correct errors in equations and in the
text of the paper that were introduced during the typesetting process. Please download this …

Humans are highly effective at dealing with noisy, probabilistic information,. One hallmark of
this is Cue Combination: combining two independent noisy sensory estimates to increase …